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It's because a large segment of classical music watchers are using it as a background music playlist, and listen to the same recordings repeatedly.



They should be able to distinguish between users who always play the same video in a loop vs. users who never watch anything twice (or anything intermediate between the two extremes) and adjust the recommendations based on that.

But maybe their recommendation engine is hyper-focused on the matrix-completion framework and doesn't use any information other than which users watched which videos.




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